6 papers
TGRHuman: Text-Guided Realistic 3D Human Generation via Diffusion Renderer
Muxin Zhang, Chaohui Yu, Yuanwang Yang +3
Realistic 3D human generation plays a crucial role in many graphics applications. However, current methods still struggle to generate high-quality human geometry and texture while…
SEGA: Drivable 3D Gaussian Head Avatar from a Single Image
Chen Guo, Zhuo Su, Liao Wang +8
Creating photorealistic 3D head avatars from limited input has become increasingly important for applications in virtual reality, telepresence, and digital entertainment. While rec…
HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors
Xiaozheng Zheng, Chao Wen, Zhaohu Li +9
In this paper, we present a novel 3D head avatar creation approach capable of generalizing from few-shot in-the-wild data with high-fidelity and animatable robustness. Given the un…
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Xiaozheng Zheng, Chao Wen, Zhuo Su +4
In this paper, we delve into the creation of one-shot hand avatars, attaining high-fidelity and drivable hand representations swiftly from a single image. With the burgeoning domai…
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
Yuheng Jiang, Zhehao Shen, Penghao Wang +5
We have recently seen tremendous progress in photo-real human modeling and rendering. Yet, efficiently rendering realistic human performance and integrating it into the rasterizati…
Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang, Qiao Feng, Zhuo Su +3
3D human generation is increasingly significant in various applications. However, the direct use of 2D generative methods in 3D generation often results in losing local details, wh…